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Proceedings Paper

Hyper-entanglement based system with enhanced resolution, signal to noise ratio, and measurement time
Author(s): James F. Smith
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Paper Abstract

A hyper-entanglement based atmospheric imaging/detection system involving only a signal and an ancilla photon will be considered for optical and infrared frequencies. Only the signal photon will propagate in the atmosphere and its loss will be classical. The ancilla photon will remain within the sensor experiencing low loss. Closed form expressions for the wave function, normalization, density operator, reduced density operator, symmetrized logarithmic derivative, quantum Fisher information, quantum Cramer-Rao lower bound, coincidence probabilities, probability of detection, probability of false alarm, probability of error after M measurements, signal to noise ratio, quantum Chernoff bound, time-on-target expressions related to probability of error and resolution will be provided. The effect of noise in every mode will be included as well as loss. The system will provide the basic design for an imaging/detection systems functioning at optical or infrared frequencies that offer better than classical angular and range resolution. Optimization for enhanced resolution will be included. The signal to noise ratio will be increased by a factor equal to the number of modes employed during the hyper-entanglement process. Likewise, the measurement time can be reduced by the same factor. The hyper-entanglement generator will typically make use of entanglement in polarization, energy-time, orbital angular momentum, etc. Mathematical results will be provided describing the system’s performance as a function of loss mechanisms and noise.

Paper Details

Date Published: 28 May 2013
PDF: 19 pages
Proc. SPIE 8749, Quantum Information and Computation XI, 87490Y (28 May 2013); doi: 10.1117/12.2015333
Show Author Affiliations
James F. Smith, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 8749:
Quantum Information and Computation XI
Eric Donkor; Andrew R. Pirich; Howard E. Brandt, Editor(s)

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